MongoDB Atlas for Government on AWS Achieves FedRAMP® Moderate Authorization

Salman Baset and Imani Tate
February 8, 2023

MongoDB has achieved the formal FedRAMP® Moderate Authorized designation for MongoDB Atlas for Government (US), the most secure way for the US Government to deploy, run, and scale MongoDB in the cloud. Additionally, MongoDB has worked with an independent auditor to validate our ability to support customers subject to Criminal Justice Information Services (CJIS) requirements regarding how sensitive data is created, viewed, modified, transmitted, disseminated, stored, and destroyed.

MongoDB Atlas for Government

Atlas for Government is an independent, dedicated environment of MongoDB Atlas for the US public sector, as well as ISVs looking to build US public sector offerings. This developer data platform – an integrated set of data and application services that share a unified developer experience – supports a wide range of use cases including transactional workloads, time series data, search, and petabyte data storage.

Built on AWS and running in US AWS regions, Atlas for Government has been generally available since June 2021 and provides the simplest way to deploy, operate, and scale modern applications, all in a FedRAMP Moderate Authorized environment. Atlas for Government highlights include:

  • MongoDB clusters deployed in AWS GovCloud or AWS US East/West (US) regions, and leverage the full functionality of MongoDB's document database, Atlas Search, fully automated backup, time series, and more.

  • Guaranteed high availability with a ~99.995% uptime SLA which auto-scales up or down to accommodate fluctuations in data consumption, affording greater flexibility and cost control.

  • Unparalleled security, with all security features built-in at no additional cost. Also, Atlas for Government is operated by MongoDB employees who are US persons on US soil.

  • Support for both AWS GovCloud regions so customers can create multi-GovCloud region clusters and backups that stay within those regions and copy to both.

  • ISVs can use Atlas for Government to store US government data and rapidly build their own FedRAMP offerings. All encryption within Atlas for Government is FIPS validated.

These features make Atlas for Government uniquely positioned to support mission-critical applications across the US public sector.

How MongoDB powers key use cases across the public sector

MongoDB Atlas is already powering innovative applications in a number of sectors. And now, Atlas for Government is primed to power critical applications across public sector agencies and the ISVs that support them.

Healthcare

MongoDB is built to bring together data from disparate databases, systems, and data formats to create a single view of the patient. And with Atlas for Government’s dynamic schema, government agencies can enrich their view of patients with data from new sources, such as connected health devices. Both MongoDB and FHIR natively support the JSON format, the standard that supports rich data structures and objects prevalent in healthcare such as patient data, claims, policies, and treatment information.

Financial services

Agencies that participate in financial services activities must fully commit to digital transformation – liberating data, empowering developers, and embracing disruption — to keep up with the expectations of instantaneous transactions. Whether it's trading platforms and end-to-end digital loan origination, or AI/ML-driven fraud detection systems and financial 'super apps', Atlas for Government enables innovation and speed for government agencies that conduct payments and core banking applications.

Federal, state, and local government

National, regional, and local governments are facing pressing challenges with rising costs, changing regulations, and complex technological demands. The traditional systems currently in place are expensive and improperly equipped to handle modern needs for scale, cost efficiency, and flexibility. Atlas for Government opens doors for new initiatives like building smart cities, planning for traffic and construction updates, and improving the welfare of citizens.

Education

From groundbreaking data-based research to the administrative management of schools’ complex ecosystems, proper data management can transform how educational institutions operate. A modern data platform helps institutions navigate complex challenges like providing continuous learning, teaching with limited resources, and retaining students and staff. Atlas for Government offers an intuitive, secure, cost-effective solution for institutions dedicated to all stages of education.

How do I get started?

Customers can fill out the form on the MongoDB Atlas for Government page and a MongoDB specialist will get in touch with further details to set up. The specialist will help you set up Atlas for Government clusters (US) and you can either launch a new workload, migrate your existing Atlas workload to Atlas for Government, or re-platform your existing workloads by engaging with our professional services. Please also refer to the technical documentation for Atlas for Government for more details, or learn more on MongoDB University.

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Turning Data Points Into Actionable Insights: Meet May Hoque

>> Announcement: Some features mentioned below will be deprecated on Sep. 30, 2025. Learn more . Imagine the interesting insights you could glean from combining multiple data sources with one tool that helps you easily analyze data over time. May Hoque is a senior software engineer on MongoDB’s Atlas Data Federation team where he helps create a distributed, federated query engine that can query across data stored in multiple sources. Keep reading to find out more about his experience joining MongoDB as an intern and new grad, then continuing to grow his career here over the last four and a half years. Jackie Denner: Thanks for sharing more about your experience today, May! To start, will you give an overview on your software engineering background and how you started working with MongoDB? May Hoque: I began exploring computer science in a high school class. The class was rudimentary but I had fun learning how to build programs. I chose computer science as my university major because it felt like a career I could grow with that both piqued my interest and offered long-term stability. I am currently a senior software engineer on MongoDB’s Atlas Data Federation team. I first joined MongoDB in 2017 as an intern, then returned after graduation to participate in the New Grad Program in 2018 which gave me an opportunity to rotate working between three different teams at MongoDB over our first six months. I originally joined the BI connector team, but then switched to the Atlas Data Federation team. JD: Tell me more about the Atlas Data Federation product. MH: Atlas Data Federation is a distributed, federated query engine at its core. This core enables users to query multiple data sources with a single query, from a single interface. Other MongoDB products, including Atlas Online Archive and Atlas Data Lake , use this core as a building block for their own functionality. The Atlas Data Lake product, for example, orders and organizes data to optimize for super fast queries even as the user's data sources grow in volume. The ability to perform complex queries, even across multiple data sources unlocks valuable benefits for a variety of use cases, for example maintaining the ability to easily query less frequently used data even after archiving it from pre-existing database clusters to less expensive locations. JD: What makes Atlas Data Federation unique? MH: We’re more than just a search function — we can also store your data and organize it in a way that makes it really fast to actually answer those questions. Its integration with Atlas and the larger MongoDB ecosystem widens the scope of the value users can get from their databases. It’s convenient and operationally simple to have all of your solutions to different challenges in the same place. MongoDB Atlas Data Lake allows developers to easily store and analyze large amounts of data in a cost-effective and scalable manner without having to worry about the underlying infrastructure. JD: Talk me through some example use cases your team supports. MH: The real value in large data sets lies in understanding the trends and relationships between the data points. There are endless possibilities of how organizations can use Atlas Data Federation to draw insights to motivate strategic business decisions, from answering questions about specific events, to aggregating insights across a group of data points. Atlas Data Lake stores and organizes your data in a way that makes it really fast to answer questions related to your collection of data. Teams across an organization can benefit from more insight into data learnings. A marketing team may want to know what percentage of their users have spent more than a specific amount on a single item, including supporting data like what the item was and when they purchased it. An investor may want to know how much profit an organization made over a specific time period. A product team may want to look at historical sales data from past product launches. Users can answer all of these questions and more with a query on Atlas Data Federation. JD: What projects are you currently working on? MH: I am contributing to a bigger MongoDB initiative to add more sources of data. Adding this support to Atlas Data Federation and Data Lake will make our service available to new clients who want to use the product, but currently can’t. I’m also working on a high level systems design challenge to rearchitect our systems to scale and improve our service for our customers. JD: Let’s talk about what it’s like to work at MongoDB. What makes the team and product exciting to work on? MH: The Atlas Data Federation team is primarily focused on problems relating to complex distributed systems and database engineering . These challenges aren’t often easy to work on, but the careful and rigorous thinking needed to solve them is exciting and rewarding. Plus, the solution to the data lake problem is in demand, and the projects we work on are relevant to the industry. JD: What is the overall engineering culture like at MongoDB? What opportunities have inspired you to grow here? MH: My experience on the team has contributed to my growth as an engineer. I’ve noticed a strong culture of learning, mentorship and diversity both on the Atlas Data Federation team and the company at large. I appreciate that our team has a wide spectrum of experience levels, from new grads to engineers with decades of experience. The team is collaborative and takes pride in supporting each other. Whether I work on a project independently or with a group of engineers, I’m never working solo. I always have the support of the team and people to bounce ideas off of throughout a project, which creates opportunity for growth. JD: Why should someone join the Atlas Data Federation team? MH: If you're someone who really likes technical challenges or you just want to solve really cool problems, we have no shortage of them to work on. If you’re focused on growth, we have opportunities for all levels of experience. It is possible to grow from an intern to a manager on our team because of the mentorship and breadth of projects available to work on, which I’ve seen happen for some of my colleagues. Our team environment is built on empathy and collaboration. JD: What stands out to you about your overall experience working at MongoDB compared to your past experiences? MH: After a few years on the team, I'm still consistently growing my skill set and working on interesting, fun projects – two primary reasons I continue to work at MongoDB. The problems the Atlas Data Federation team works on provide me useful experience that I can apply to future projects and challenges. If you’re looking to collaborate with forward-thinking teams and interesting use cases, MongoDB is one of the best tech companies to work for. Interested in transforming your career at MongoDB? View open roles on our teams across the globe.

February 7, 2023
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MongoDB’s 2024 Year in Review

It’s hard to believe that another year is almost over! 2024 was a transformative year for MongoDB, and it was marked by both innovation and releases that further our commitment to empowering customers, developers, and partners worldwide. So without further ado, let’s dive into MongoDB’s 2024 highlights. We’ll also share our executive team’s predictions of what 2025 might have in store. A look back at 2024 MongoDB 8.0: The most performant version of MongoDB ever In October we released MongoDB 8.0 , the fastest, most resilient, secure, and reliable version of MongoDB yet. Architectural optimizations in MongoDB 8.0 have significantly improved the database’s performance, with 36% faster reads and 59% higher throughput for updates. Our new architecture also makes horizontal scaling cheaper and faster. Finally, working with encrypted data is easier than ever, thanks to the addition of range queries in Queryable Encryption (which allows customers to encrypt, store, and perform queries directly on data). Whether you’re a startup building your first app, or you’re a global enterprise managing mission-critical workloads, MongoDB 8.0 offers unmatched power and flexibility, solidifying MongoDB’s place as the world’s most popular document database. Learn more about what makes 8.0 the best version of MongoDB ever on the MongoDB 8.0 page . Delivering customer value with the MongoDB AI Applications Program AI applications have become a cornerstone of modern software, and MongoDB is committed to equipping customers with the technology, tools, and support they need to succeed on their AI journey. That’s why we launched the MongoDB AI Applications Program (MAAP) in 2024, a comprehensive program designed to accelerate the development of AI applications. By offering customers resources like access to AI specialists, an ecosystem of leading AI and tech companies, and AI architectural best practices supported by integrated services, MAAP helps solve customers’ most pressing business challenges, unlocks competitive advantages, and accelerates time to value for AI investments. Overall, MAAP’s aim is to set customers on the path to AI success. Visit the MongoDB AI Applications Program page or watch our session from AWS re:Invent to learn more! Advancing AI with MongoDB Atlas Vector Search In 2024, MongoDB further cemented its role in the AI space with enhancements to MongoDB Atlas Vector Search . Recognized in 2024 (for the second consecutive year!) as one of the most loved vector databases , MongoDB continues to provide a scalable, unified, and secure platform for building cutting-edge AI use cases. Recent advancements like vector quantization in Atlas Vector Search help deliver even more value to our customers, enabling them to scale applications to billions of vectors at a lower cost. Head over to our Atlas Vector Search quick start guide to get started with Atlas Vector Search today, or visit our AI resources hub to learn more about how MongoDB can power AI applications. Search Nodes: Performance at scale Search functionality is indispensable in modern applications, and with Atlas Search Nodes, organizations can now optimize their search workloads like never before. By providing dedicated infrastructure for Atlas Search and Vector Search workloads, Search Nodes ensure high performance (e.g., a 40–60% decrease in query times), scalability, and reliability, even for the most demanding use cases. As of this year , Search Nodes are generally available across AWS, Google Cloud, and Microsoft Azure. This milestone underscores MongoDB’s commitment to delivering powerful solutions that scale alongside our customers’ needs. To learn more about Search Nodes, check out our documentation or watch our tutorial . Looking ahead: MongoDB’s 2025 predictions After the excitement of the past few years, 2025 will be defined by ensuring that technology investments deliver tangible value. Organizations remain excited about the potential AI and emerging technologies hold to solve real business challenges, but are increasingly focused on maintaining a return on investment. “Enterprises need to innovate faster than ever, but speed is no longer the only measure of success. Increasingly, organizations are laser-focused on ensuring that their technology investments directly address critical business challenges and provide clear ROI and competitive advantage—whether it’s optimizing supply chains, delivering hyper-personalized customer experiences, or scaling operations efficiently,” said Sahir Azam, Chief Product Officer at MongoDB. “In 2025, I expect to see organizations make significant strides in driving this innovation and efficiency by applying AI to more production use cases and by maturing the way they leverage their data to build compelling and differentiated customer experiences.” Indeed, we expect to see organizations make more strategic investments in emerging technologies like gen AI—innovating with a sharp focus on solving business challenges. “In 2025, we can expect the focus to shift from ‘what AI can do’ to ‘what AI should do,’ moving beyond the hype to a clearer understanding of where AI can provide real value and where human judgment is still irreplaceable,” said Tara Hernandez, VP of Developer Productivity at MongoDB. “As we advance, I think we’ll see organizations begin to adopt more selective, careful applications of AI, particularly in areas where stakes are high, such as healthcare, finance, and public safety. A refined approach to AI development will be essential—not only for producing quality results but also to build trust, ensuring these tools genuinely support human goals rather than undermining them.” With more capable, accessible application development tools and customer-focused programs like MAAP at developers’ fingertips, 2025 is an opportunity to make a data-driven impact faster than ever before. "Right now, organizations have an opportunity to leverage their data to reimagine how they do business, to more effectively adapt to a changing world, and to revolutionize our quality of life,” said Andrew Davidson, SVP of Products at MongoDB. “By harnessing our latest technologies, developers can build a foundation for a transformative future." Head over to our updates page to learn more about the new releases and updates from MongoDB in 2024. Keep an eye on our events page to learn what's to come from MongoDB in 2025!

December 19, 2024